[
[-0.7, -0.70, 1.0],
[0.0, -0.1, 1.0],
[0.7, -0.7, 1.0],
[-0.7, 0.1, 1.0],
[0.0, 0.7, 1.0],
[0.7, 0.1, 1.0],
],
dtype=torch.float32,
)
faces0 = torch.tensor([[1, 0, 2], [4, 3, 5]], dtype=torch.int64)
# Points for a simple point cloud. Get the vertices from a
# torus and apply rotations such that the points are no longer
# symmerical in X/Y.
torus_mesh = torus(r=0.25, R=1.0, sides=5, rings=2 * 5)
t = (Transform3d().rotate_axis_angle(angle=90, axis="Y").rotate_axis_angle(
angle=45, axis="Z").scale(0.3))
torus_points = t.transform_points(torus_mesh.verts_padded()).squeeze()
def _save_debug_image(idx, image_size, bin_size, blur):
"""
Save a mask image from the rasterization output for debugging.
"""
H, W = image_size
# Save out the last image for debugging
rgb = (idx[-1, ..., :3].cpu() > -1).squeeze()
suffix = "square" if H == W else "non_square"
filename = "%s_bin_size_%s_blur_%.3f_%dx%d.png"
filename = filename % (suffix, str(bin_size), blur, H, W)
def bm_load_complex_obj(N: int):
meshes = torus(r=0.25, R=1.0, sides=N, rings=2 * N)
[verts], [faces] = meshes.verts_list(), meshes.faces_list()
return TestMeshObjIO._bm_load_obj(verts, faces, decimal_places=5)
def bm_save_complex_ply(N: int):
meshes = torus(r=0.25, R=1.0, sides=N, rings=2 * N)
[verts], [faces] = meshes.verts_list(), meshes.faces_list()
return TestMeshPlyIO._bm_save_ply(verts, faces, decimal_places=5)
